Triple
T10526231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorelei Ambrosia |
E248311
|
entity |
| Predicate | subvertsTrope |
P94381
|
FINISHED |
| Object | dumb blonde by being secretly intelligent |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: dumb blonde by being secretly intelligent | Statement: [Lorelei Ambrosia, subvertsTrope, dumb blonde by being secretly intelligent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subvertsTrope Context triple: [Lorelei Ambrosia, subvertsTrope, dumb blonde by being secretly intelligent]
-
A.
usedAsTrope
Indicates that something functions as a recurring narrative device, motif, or cliché within a story or set of stories.
-
B.
inspiredTrope
Indicates that one trope serves as the creative or conceptual inspiration for another trope.
-
C.
tricked
Indicates that one entity intentionally deceived another into believing something false or acting under a false impression.
-
D.
usedHyperbolically
Indicates that the action or property is being expressed with deliberate exaggeration for emphasis or effect, rather than as a literal statement.
-
E.
trap
Indicates that an entity captures, confines, or ensnares another entity, typically preventing its escape or movement.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f4bbe88190bce7789a56c85671 |
completed | April 7, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69d4fb94fa10819091f585bab4379c6f |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe06d4a48190b1a45dd1d4e16df0 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:29 p.m.